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Average Ratings 0 Ratings

Total
ease
features
design
support

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Write a Review

Description

GraphAware presents Hume, an innovative platform for data analytics and intelligence analysis that leverages graph technology to convert isolated structured and unstructured data into a cohesive web, enhancing insight and decision-making capabilities. Central to Hume's functionality are the principles of knowledge graphs and graph databases, which allow for the seamless ingestion, unification, and representation of data as interconnected networks of nodes and relationships, empowering analysts and data scientists to explore, query, and visualize complex connections and concealed patterns without the necessity of mastering intricate query languages. This platform provides a unified perspective of truth across various data sources, speeds up the identification of subtle relationships and behavioral patterns, and facilitates advanced graph data science techniques such as node influence analysis, link prediction, community detection, and automated alerting, all bolstered by integrated machine learning and features from large language models (LLMs). By streamlining the access and analysis of diverse data sets, Hume not only enhances the efficiency of data exploration but also opens up new avenues for strategic decision-making.

Description

Intelligent Automation allows for the comprehensive management of enterprise transformation by integrating process activities across various operational areas, leading to an organization that is highly automated and focused on client needs without traditional boundaries. In contrast to RPA, which mainly offers straightforward rule-based methods and basic machine learning models, employing a platform driven by AI for process automation yields results that are both more precise and scalable. A hybrid automation strategy, which leverages various tools such as RPA and AI/ML, enhances the level of automation achievable for diverse processes. By utilizing AI/ML algorithms, this approach eliminates the need to write custom automation rules, enabling the algorithm to discern patterns from existing data and apply these insights to streamline future processes. Consequently, this method automates segments of the workflow while still retaining characteristics reminiscent of manual operations, thereby striking a balance between efficiency and familiarity. Ultimately, this evolution in automation leads to a more adaptive and intelligent operational framework.

API Access

Has API No 

API Access

Has API No 

Screenshots View All

Screenshots View All

Integrations

No details available.

Integrations

No details available.

Pricing Details

No price information available.
Free Trial No 
Free Version No 

Pricing Details

No price information available.
Free Trial No 
Free Version No 

Deployment

Web-Based Yes 
On-Premises No 
iPhone App No 
iPad App No 
Android App No 
Windows No 
Mac No 
Linux No 
Chromebook No 

Deployment

Web-Based Yes 
On-Premises No 
iPhone App No 
iPad App No 
Android App No 
Windows No 
Mac No 
Linux No 
Chromebook No 

Customer Support

Business Hours No 
Live Rep (24/7) No 
Online Support Yes 

Customer Support

Business Hours No 
Live Rep (24/7) No 
Online Support Yes 

Types of Training

Training Docs Yes 
Webinars No 
Live Training (Online) No 
In Person No 

Types of Training

Training Docs Yes 
Webinars No 
Live Training (Online) No 
In Person No 

Vendor Details

Company Name

GraphAware

Founded

2013

Country

United Kingdom

Website

graphaware.com

Vendor Details

Company Name

Predictly

Founded

2015

Country

India

Website

predictly.co

Product Features

Data Analysis

Data Discovery No 
Data Visualization No 
High Volume Processing No 
Predictive Analytics No 
Regression Analysis No 
Sentiment Analysis No 
Statistical Modeling No 
Text Analytics No 

Product Features

Data Analysis

Data Discovery No 
Data Visualization No 
High Volume Processing No 
Predictive Analytics No 
Regression Analysis No 
Sentiment Analysis No 
Statistical Modeling No 
Text Analytics No 

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